real-time life long learning always-on pattern recognition...3rd wave of ai chips • real-time life...
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3rd Wave of AI chips
• Real-time Life long learning• Always-On pattern recognition
• Classification• Anomaly and Novelty detection
• Deterministic latency (μsecs)• Low power (mWatts)• Explainable AI
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NeuroMem
Unique architecture
Bank of identical neuromorphic memory cells
Working in parallelExact and fuzzy matchingLearn by examples
Memory and processing in a same cellDeterministic latenciesLow powerKnowledge Traceability
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NeuroMem
NM
95% memory5% logic
NeuroMem, Proven Fielded Embedded AI
• 50 systems, in continuous operation, saving US$2M per boat, • Trained in deep sea waters by Nordic fishermen
• No cloud access
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2003, Pulnix ZiCAM(312 neurons)
NeuroMem
Field Proven Technology NeuroMem
Available Now!4
AerospaceAutomotive
Consumer electronicsEnvironment
HealthcareIndustrial
Other
Across many industries
Video & Image analyticsSignal and audio analytics
Scientific analyticsText & packet analytics
Numerous applications
Machine learningEdge Intelligence
Data AnalyticsPredictive maintenance
Failure analysisNovelty detection
Technology in high demand
NeuroMem
Low power, Miniature5
NeuroMem
Battery operated Image to Speech demo, real-time learning of flash cards, no software
Signal Monitoring &Predictive Maintenance
• Stimuli• Voltage, Torque, Sound, Vibration• Angle, velocity• Temperature (human, ambient)• Biosensors
• Learning• Supervised learning of normal
operations• Unsupervised learning of novelties
• Recognition• Sensors to transmit only information
of interest: Events, drifts, novelties• Adaptive control
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NeuroMem
High Vibration
Normal Vibration
Pulsating
Cool down
Anomaly!
Warm up
Artificial Vision
• Stimuli• Live video• Images, movie files• Combined with audio, GPS, etc.
• Learning• Discrete objects• Colors, shapes, alignments• Textures and surfaces
• Recognition• Identification• Classification• Defect or novelty detection• Disparity localization
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NeuroMem
Industrial and professional vision
systems
Embedded and low-power
systems
Trainable photocells &
industrial cameras
Analytics and Securityin Text & Packets
• Stimuli• Tweets• Documents• Computer logs, financial logs• Packet uplinks
• Learning• Dictionaries of words and
expressions• Random encrypted lookups
• Recognition• Word spotting and counting• Exact matching• Clustering• Drift and anomaly detections• Trending and prediction
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NeuroMem
NeuroTube, 65536 neurons
40,000 pattern/second = 2,684,354,560,000 ops/sec = 2.68 Teraoperations/sec @ 12 Watts = 223 Gigaoperations/sec/watt
Power efficiency @ 10 MHz: 12 Watts (24 volts/0.5 Amp) 386 Mips per milliwatt
Simple IOs9
NeuroMem
Recognize and react
TeachText (1D)
Signal (1D)
Image (2D)
BroadcastPattern/Stimuli Save/Restore
Knowledge built by the neurons
Development workflow NeuroMem10
Data collection
Data annotation Feature selections
Decision space mapping
Deploy project
Knowledge Builder Tools
Deployment Platform NeuroMem11
WIFI/BLE, SPI/I2C,
USB, etc.
Recognition Engine:
Feature extractions,Learning and
Recognition logic, Decision logic
Storagecontrollers
Sensor hubcontroller
DDR, Flash, SD card, etc.
CommandInterpreters
Outputcontroller
FPGA/CPU
CMOS,Audio,
IMU, etc.
HDMI,Speaker,LEDs, etc.
NeuroMemNetwork(s)
A simple common platform
Empowering Global Sensing12
NeuroMem
A Global Sensing Revolution
Proliferation of NeuroMem_Smart sensorswith autonomous actuation and selective transmission and storage
Commoditization of NeuroMem_Smartsecure IT
NeuroMem_Smart servers and data centers with distributed low-power search engines